multi_dsciat | R Documentation |
Plot the scores from two different SC-IATs.
multi_dsciat( sciat1, sciat2, graph = c("density", "violin", "point"), x_values = TRUE, gcolors = c("dark", "greens", "blues", "pinks"), label_sc1 = "SC-IAT1", label_sc2 = "SC-IAT2", label_y = "SC-IAT scores", dens_mean = TRUE )
sciat1 |
Dataframe with class |
sciat2 |
Dataframe with class |
graph |
String. Type of graph to display. Default is |
x_values |
Logical. Shows the values for x-axis (default = |
gcolors |
String. Colors palette for plotting the results. Default is |
label_sc1 |
String. Label to display in the graph for the first SC-IAT.
Default is |
label_sc2 |
String. Label to display in the graph for the first SC-IAT.
Default is |
label_y |
String. Label to plot on the y-axis. |
dens_mean |
Logical. Whether to include the mean in the density plot. Default is TRUE. |
A ggplot object
# calculate D for the SCIAT data("raw_data") # load data sciat_data <- clean_sciat(raw_data, sbj_id = "Participant", block_id = "blockcode", latency_id = "latency", accuracy_id = "correct", block_sciat_1 = c("test.sc_dark.Darkbad", "test.sc_dark.Darkgood"), block_sciat_2 = c("test.sc_milk.Milkbad", "test.sc_milk.Milkgood"), trial_id = "trialcode", trial_eliminate = c("reminder", "reminder1")) sciat1 <- sciat_data[[1]] # compute D for the first SC-IAT d_sciat1 <- compute_sciat(sciat1, mappingA = "test.sc_dark.Darkbad", mappingB = "test.sc_dark.Darkgood", non_response = "alert") # dataframe with the first D # SC-IAT sciat2 <- sciat_data[[2]] # Compute D for the second SC-IAT d_sciat2 <- compute_sciat(sciat2, mappingA = "test.sc_milk.Milkbad", mappingB = "test.sc_milk.Milkgood", non_response = "alert") # dataframe with the first # D SC-IAT multi_dsciat(d_sciat1, d_sciat2) # plot the D of two SC-IATs with default # settings
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